Авторы

  • Asya Tureniyazova
    Candidate of Physical and Mathematical Sciences, Associate Professor, Nukus branch of Tashkent University of Information Technologies
  • Timur Berdimbetov
    Dean of the Faculty of Computer Engineering, PhD, Nukus branch of Tashkent University of Information Technologies
  • Ayzada Karimullaeva
    2nd year master's student in Computer Engineering, Nukus branch of Tashkent University of Information Technologies

DOI:

https://doi.org/10.71337/inlibrary.uz.arims.80354

Ключевые слова:

Aral Sea forest cover drought GIS remote sensing desertification NDVI restoration.

Аннотация

This study explores the impact of drought on forest cover changes around the Aral Sea using GIS and remote sensing technologies. Satellite imagery from Landsat and MODIS is analyzed to assess the temporal and spatial changes in forest health, revealing significant deforestation, particularly in the southern and eastern parts of the region. The findings highlight the increasing desertification and soil erosion caused by drought, with adverse effects on local biodiversity and ecosystem services. The study underscores the value of GIS and remote sensing in monitoring environmental changes and supporting restoration efforts in the Aral Sea region.


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ACADEMIC RESEARCH IN MODERN SCIENCE

International scientific-online conference

94

USING GIS AND REMOTE SENSING IN THE STUDY OF THE

INFLUENCE OF DROUGHT ON CHANGES IN FOREST COVER

AROUND THE ARAL SEA

Tureniyazova Asya Ibragimovna

Candidate of Physical and Mathematical Sciences, Associate Professor, Nukus

branch of Tashkent University of Information Technologies

Berdimbetov Timur Tileubergenovich

Dean of the Faculty of Computer Engineering, PhD, Nukus branch of Tashkent

University of Information Technologies

Karimullaeva Ayzada Gaybulla qizi

2nd year master's student in Computer Engineering, Nukus branch of Tashkent

University of Information Technologies

https://doi.org/10.5281/zenodo.15258984

Abstract.

This study explores the impact of drought on forest cover

changes around the Aral Sea using GIS and remote sensing technologies. Satellite
imagery from Landsat and MODIS is analyzed to assess the temporal and spatial
changes in forest health, revealing significant deforestation, particularly in the
southern and eastern parts of the region. The findings highlight the increasing
desertification and soil erosion caused by drought, with adverse effects on local
biodiversity and ecosystem services. The study underscores the value of GIS and
remote sensing in monitoring environmental changes and supporting
restoration efforts in the Aral Sea region.

Keywords:

Aral Sea, forest cover, drought, GIS, remote sensing,

desertification, NDVI, restoration.

The Aral Sea, once one of the world’s largest inland bodies of water, has

undergone dramatic changes over the past several decades. Once a vast and
thriving ecosystem, the Aral Sea has shrunk dramatically due to the diversion of
the Amu Darya and Syr Darya rivers for irrigation purposes. This environmental
catastrophe has led to a series of ecological consequences, one of the most
significant being the drastic reduction of forest cover around the Aral Sea.
Drought, a natural occurrence intensified by human activity, has played a key
role in this transformation. By utilizing Geographic Information Systems (GIS)
and remote sensing technologies, we can now better understand the extent of
forest cover loss and the relationship between this environmental change and
the increasingly frequent droughts in the region.

The Aral Sea’s shrinking has altered the regional climate, leading to higher

temperatures and lower precipitation. These climatic changes, combined with
human-induced water scarcity, have put enormous pressure on the ecosystems
that once depended on the sea’s water. Forests around the Aral Sea, particularly


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riparian forests, have been hit hardest by this alteration in hydrology. As
droughts have become more prolonged and intense, they have caused significant
stress on local vegetation, leading to widespread forest dieback [2].

Remote sensing technologies, such as satellite imagery, and GIS tools have

provided new opportunities for researchers to study the changes in forest cover
around the Aral Sea over time. By using remote sensing data, scientists can
monitor vast areas over long periods and detect changes in land cover that may
not be immediately visible through traditional ground-based surveys. These
tools also enable the analysis of spatial and temporal patterns in vegetation
health and forest cover, offering valuable insights into how drought has
impacted the area [5].

Satellite data, particularly from Landsat and MODIS satellites, allows for the

observation of land cover changes over time. These satellites take images of the
Earth's surface at regular intervals, enabling researchers to compare forest
cover at different times and assess the impact of drought on these ecosystems.
By analyzing these satellite images in conjunction with climate data such as
rainfall and temperature, researchers can identify correlations between drought
periods and changes in forest cover.

One of the key tools used to assess vegetation health is the Normalized

Difference Vegetation Index (NDVI), which uses satellite imagery to measure the
density and health of vegetation. A drop in NDVI values in the Aral Sea region
would indicate a decrease in forest health, which can be attributed to water
stress caused by drought conditions. Using GIS, these NDVI values can be
mapped over time, creating visual representations of forest cover loss. This
enables researchers to identify specific areas where drought has had the most
significant impact and to track how these areas have changed over time [1].

The results of this analysis reveal a clear and troubling trend: the forest

cover around the Aral Sea has diminished drastically over the last few decades.
Areas that were once lush with vegetation are now barren, with only scattered
patches of surviving trees. The loss of forest cover has been most pronounced in
the southern and eastern parts of the Aral Sea Basin, where the effects of water
depletion and drought are most severe. This transformation is not only a
consequence of natural droughts but also of the region’s water management
practices, which have reduced the water supply for local ecosystems.

The reduction in forest cover has had a cascading effect on the local

environment. Forests provide vital ecosystem services such as soil stabilization,
carbon sequestration, and habitat for wildlife. The loss of forest cover has led to


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increased soil erosion, particularly in areas where the vegetation once held the
soil in place. As a result, desertification has become a growing problem, with the
region’s landscape rapidly transitioning from arable land to arid desert.

The effects of drought on forest ecosystems around the Aral Sea are also

evident in the decline of local biodiversity. Many species that once depended on
these forests for food and shelter are now facing the threat of extinction. This
ecological crisis has led to an urgent need for restoration efforts to reverse some
of the damage caused by the loss of forest cover. However, such restoration
efforts must be carefully planned to take into account the changing climate
conditions and water availability.

The use of GIS and remote sensing technologies in this context has been

invaluable in tracking the changes in forest cover around the Aral Sea. These
technologies provide a detailed and accurate picture of the region’s
environmental changes, allowing scientists and policymakers to make more
informed decisions about how to manage and restore the landscape. However,
while remote sensing can provide a wealth of data, it is important to combine
these technological tools with ground-based monitoring and ecological studies
to gain a comprehensive understanding of the situation.

Addressing the root causes of the environmental degradation around the

Aral Sea, particularly the over-extraction of water for irrigation and the changing
climate, will require coordinated efforts at multiple levels. Local governments,
international organizations, and the scientific community must collaborate to
develop sustainable water management practices and initiate large-scale
restoration projects. Efforts to restore forest cover must focus not only on
replanting trees but also on rebuilding resilient ecosystems capable of
withstanding future droughts.

Conclusion.

In conclusion, the influence of drought on forest cover around

the Aral Sea is a stark reminder of the fragility of ecosystems in the face of both
natural and human-induced environmental change. By utilizing GIS and remote
sensing, we are able to better understand the extent of the damage and to
monitor ongoing changes. However, reversing the environmental damage
caused by drought will require a comprehensive approach that combines
technological tools with practical solutions aimed at mitigating water scarcity,
reducing desertification, and restoring forest ecosystems. The future of the Aral
Sea region depends on our ability to adapt to these challenges and take action to
protect the remaining ecosystems.


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References:

1.

Cui, M., Zheng, X., Li, Y., & Wang, Y. (2023). Analysis of NDVI trends and

driving factors in the buffer zone of the Aral Sea. Water, 15(13), 2473.
2.

Jaksibaev, R., Gabbarov, S., Abdurahmanov, I., Sultashova, O., & Khafizova,

Z. (2023). Vegetation monitoring in the South Aral Sea region by remote sensing
and GIS. In E3S Web of Conferences (Vol. 386, p. 01001). EDP Sciences.
3.

Karimov, Y., Yarashev, Q., Mamajonov, R., Nazarov, M., & Jiaqiang, L.

Analysis of Land cover and land changing in the Southern Aral Sea region in the
last 20 years using remote sensing and GIS technology.
4.

Kozhoridze, G., Orlovsky, L., & Orlovsky, N. (2012, October). Monitoring

land cover dynamics in the Aral Sea region by remote sensing. In Earth
resources and environmental remote sensing/GIS Applications III (Vol. 8538, pp.
445-453). SPIE.
5.

Shen, H., Abuduwaili, J., Ma, L., & Samat, A. (2019). Remote sensing-based

land surface change identification and prediction in the Aral Sea bed, Central
Asia. International journal of environmental science and technology, 16, 2031-
2046.

Библиографические ссылки

Cui, M., Zheng, X., Li, Y., & Wang, Y. (2023). Analysis of NDVI trends and driving factors in the buffer zone of the Aral Sea. Water, 15(13), 2473.

Jaksibaev, R., Gabbarov, S., Abdurahmanov, I., Sultashova, O., & Khafizova, Z. (2023). Vegetation monitoring in the South Aral Sea region by remote sensing and GIS. In E3S Web of Conferences (Vol. 386, p. 01001). EDP Sciences.

Karimov, Y., Yarashev, Q., Mamajonov, R., Nazarov, M., & Jiaqiang, L. Analysis of Land cover and land changing in the Southern Aral Sea region in the last 20 years using remote sensing and GIS technology.

Kozhoridze, G., Orlovsky, L., & Orlovsky, N. (2012, October). Monitoring land cover dynamics in the Aral Sea region by remote sensing. In Earth resources and environmental remote sensing/GIS Applications III (Vol. 8538, pp. 445-453). SPIE.

Shen, H., Abuduwaili, J., Ma, L., & Samat, A. (2019). Remote sensing-based land surface change identification and prediction in the Aral Sea bed, Central Asia. International journal of environmental science and technology, 16, 2031-2046.